from langchain.chains import ConversationalRetrievalChain retriever=vectordb.as_retriever() qa = ConversationalRetrievalChain.from_llm( llm, retriever=retriever, memory=memory ) ConversationalRetrievalChain会在RetrievalQAChain的基础上,将聊天历史和新提的问题整合成一个新的独立问题,以传递给向量存储库,查找相关...
from langchain.vectorstores import FAISS #facebook vectorizationfrom langchain.chains.question_answering import load_qa_chain from langchain.chains.question_answering import load_qa_chain from langchain import HuggingFaceHub from langchain.document_loaders import UnstructuredPDFLoader #load pdf from langch...
from langchain.chains.retrieval_qa.base import RetrievalQAfrom langchain_openai import ChatOpenAIllm = ChatOpenAI(model_name="gpt-3.5-turbo",temperature=0,max_tokens=200,api_key="your key",base_url="https://api.openai-hk.com/v1",)retriever = vectordb.as_retriever(search_type="mmr",searc...
from langchain.text_splitter import RecursiveCharacterTextSplitter from langchain.vectorstores import Chroma from langchain.embeddings import HuggingFaceEmbeddings from langchain.llms import LlamaCpp from langchain.chains import RetrievalQA loader = PyMuPDFLoader("Virtual_characters.pdf") PDF_data = loader...
from langchain.chains import RetrievalQAllm= ChatGLM()retriever= vectorstore.as_retriever(search_kwargs={"vector_field":"message_embedding","text_field":"message","metadata_field":"message_metadata"})qa_chain= RetrievalQA.from_chain_type(llm,retriever=retriever) ...
chains import RetrievalQA from langchain.document_loaders import TextLoader from langchain.embeddings.openai import OpenAIEmbeddings llm = OpenAI(temperature=0, openai_api_key=openai_api_key) 代码语言:javascript 代码运行次数:0 复制Cloud Studio 代码运行 loader = TextLoader('wonderland.txt') # 载入...
System Info Version: 0.0.201 llm = ChatVertexAI(temperature=0) qa_chain_mr = RetrievalQA.from_chain_type( llm, retriever=vectordb.as_retriever(), chain_type="refine" ) result = qa_chain_mr({"query": question}) result["result"] Error: Att...
。当我使用查询输入运行 QA 链时,此错误不断出现: ---> result = qa_chain({'query': question}) ValueError: Missing some input keys: {'query'} 这是我的代码: from langchain.chains import RetrievalQA from langchain.prompts import PromptTemplate # Build prompt template = """Given the followi...
retriever=db.as_retriever()qa=RetrievalQA.from_chain_type(llm=llm,chain_type="stuff",retriever=retriever,return_source_documents=True)query="Forgive me for my unruly, indulgent love of freedom in this life?"result=qa({"query":query})print(result['result']) ...
fromlangchain.chainsimportRetrievalQAqa_stuff=RetrievalQA.from_chain_type(llm=llm,chain_type="stuff",retriever=retriever,verbose=True)# *** 调用 ***qa_stuff.query("List all your shirts with sun protection in a table") 后话: 文章中的图及代码已经放到git...